Data Engineer Manager
Job Overview
We’re looking for a skilled Data Engineer with experience in MLOps, Python, and Snowflake to support a strategic migration initiative for one of our enterprise clients. The client is currently moving ML models from legacy platforms to a Snowflake-based infrastructure.
In this role, you’ll help assess existing models, migrate data workflows, and build robust pipelines for model training and deployment. You’ll work closely with Blend’s internal teams and client stakeholders to ensure seamless execution.
This is a hands-on role ideal for professionals with solid technical foundations who are looking to deepen their experience in MLOps and modern data platforms.
You will:
Support the evaluation of existing ML models built on legacy platforms.
Help design and implement data ingestion pipelines into Snowflake.
Assist in developing, training, and deploying ML workflows using Python within Snowflake.
Collaborate with cross-functional teams to align on technical requirements and timelines.
Ensure reliability and performance of pipelines under the guidance of senior engineers.
Contribute to documentation and continuous improvement of engineering processes.